Detect emerging trends and hidden opportunities.

Automatically convert unstructured data into meaningful insights that feed machine learning and predictive models, so you can surface new opportunities – and act on them – quickly. The software combines machine-learning methods with a rules-based approach that's essential for understanding the subtle nuances of language and inferring intention. You can also add subject-matter expertise to further increase the accuracy of your text models.

Go from data to decisions faster.

Empower decision making at the source of the data, and reduce the gap between when information is received and when it's acted on. If someone leaves a comment or clicks through an app on a mobile device, SAS Visual Text Analytics analyzes the data immediately using in-memory, in-database and in-stream technologies. Analyzing real-time streaming text data dramatically speeds up the data-to-decision timeline. The solution also fosters collaboration by enabling users to share best practice pipelines and methods. SAS also seamlessly integrates with existing systems and open source technologies.

Foster collaboration and information sharing in an open ecosystem.

SAS Visual Text Analytics provides a flexible environment that supports the entire analytical life cycle – from data preparation and visual exploration to analysis and deployment. You can tackle and experiment with a variety of analytical use cases to support a single initiative. Collaboration is possible at all levels, whether you’re a data scientist preparing data, a domain expert applying linguistic rules or an IT person deploying models. This unified solution also integrates seamlessly with existing systems and open source technologies.